If you are using Julia in VSCode’s Jupyter notebook and are unable to restart the kernel, there are a few different ways you can solve this issue. In this article, we will explore three different options to help you restart the kernel successfully.
Option 1: Using the VSCode Command Palette
The first option is to use the VSCode Command Palette to restart the kernel. To do this, follow these steps:
- Press
Ctrl+Shift+P
(orCmd+Shift+P
on macOS) to open the Command Palette. - Type “Jupyter: Restart Kernel” and select the corresponding option from the dropdown menu.
This will restart the kernel and clear all the variables and outputs in your Jupyter notebook.
# Julia code
# Your Julia code here
Option 2: Using the Julia Kernel
If the first option doesn’t work for you, you can try restarting the Julia kernel directly. Here’s how:
- Click on the “Julia” icon in the top-right corner of the Jupyter notebook.
- Select “Restart Kernel” from the dropdown menu.
This will restart the Julia kernel and clear all the variables and outputs in your Jupyter notebook.
# Julia code
# Your Julia code here
Option 3: Reloading the Jupyter Notebook
If the previous options didn’t work, you can try reloading the entire Jupyter notebook. Here’s how:
- Close the Jupyter notebook tab in VSCode.
- Reopen the Jupyter notebook by clicking on the file again.
This will completely restart the Jupyter notebook, including the kernel, and clear all the variables and outputs.
# Julia code
# Your Julia code here
After trying out these three options, it is difficult to determine which one is better as it depends on the specific situation and the cause of the kernel restart issue. Option 1 is the most straightforward and can be accessed quickly using the Command Palette. Option 2 provides a direct way to restart the Julia kernel, while Option 3 offers a complete restart of the Jupyter notebook. It is recommended to try these options in the given order and see which one works best for you.